X · by Hridoy

A stock scoring engine, on a first investment

Non-mathematical stock data, scored by Jev into a decision.

Wahiduzzaman Hridoy

@hridoy43

Built a stock market scoring and decision engine and invested for the first time! 🚀 It includes portfolio-aware suggestions. Used @typesafeai's JEV for non-mathematical data analysis. Open to the following positions btw. 👨‍💻 Senior Front-end | Product | Mobile (RN) Engineer.

Sep 22, 2026 · 0 likesOpen on X

Hridoy shares a first investment experience built on Jev: the data that is not mathematical is passed to Jev, which returns a score, and the scores drive a stock market decision engine.

Open the source

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Abol
@abolbuild
I gave Jev $10,000 and let it trade
XTrading and markets
$10,000 in Jev’s hands
Bankroll
$10,000
Clawby
@openclawby
Clawby 更新： 1. 资产评级: 技术面 / 流动性 / 情绪 / 风险四个快变维度由 Jev（TypeSafe System One 决策模型）每 10 分钟按最新行情与资金流重评，亚秒级校准打分。并且基于clawby的skills + claudecode 完成每周的定时分析报告，设计到前100非稳定币的主流币种。 2. 趋势分析：六个时间框架 × 五个指标，逐一与 BTC 对照。使用Jev System One决策模型，每分钟都进行分析打分，找到所有的独立信号。 3. 交易信号：覆盖meme，加密二级市场和美股三个板块。每分钟通过Jev模型进行快速分析，找到买入，卖出和观望信号。 4. 资金流：市值前 100 的币，主动买入减去主动卖出，8 家交易所聚合、13 个时间窗口——钱在进哪里，又从哪里出。 5. 链上市场：聚合了FOMO接口，对CA和钱包进行快速的深度分析，相当于一个链上快速检测工具。 https://app.openclawby.com/
XTrading and markets
Clawby re-scores four dimensions every ten minutes
Re-evaluation
every 10 min
Frit🅾️ Pendej🅾️
@vwapster
I think Jev and Laya were the missing pieces to algorithmic trading. Sure you can hardcode gates and adjust variables, but being able to add a real time decision maker within your algorith is a game changer. I can smell and taste an early retirement.
XTrading and markets
Real-time decisions in algorithmic trading

A stock scoring engine, on a first investment

More like this

$10,000 in Jev’s hands

Clawby re-scores four dimensions every ten minutes

Real-time decisions in algorithmic trading